Instructions to use Kluuking/autotrain-test-3-38732101859 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Kluuking/autotrain-test-3-38732101859 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Kluuking/autotrain-test-3-38732101859", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Model Trained Using AutoTrain
- Problem type: Binary Classification
- Model ID: 38732101859
- CO2 Emissions (in grams): 0.9466
Validation Metrics
- Loss: 0.527
- Accuracy: 0.742
- Precision: 0.562
- Recall: 0.168
- AUC: 0.702
- F1: 0.258
Usage
import json
import joblib
import pandas as pd
model = joblib.load('model.joblib')
config = json.load(open('config.json'))
features = config['features']
# data = pd.read_csv("data.csv")
data = data[features]
data.columns = ["feat_" + str(col) for col in data.columns]
predictions = model.predict(data) # or model.predict_proba(data)
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